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We solve a mixed quality of services (QoS) requirement problem for a multiple-input-multiple-output (MIMO) network with multiple linear transmit covariance constraints. Specifically, we design linear transceivers to satisfy the data rate requirements for a set of users while the rates of the remaining users are balanced. In addition, the design will ensure a set of multiple linear transmit covariance...
The authors propose a suboptimal algorithm for adaptive subcarrier, bit and power allocation for orthogonal frequency division multiple access-based spectrum-sharing networks. This problem in its original form is non-convex and may be solved using greedy algorithms or integer linear programming (ILP) techniques. However, the computational complexity of the latter techniques is quite high, while the...
We provide a rate balancing technique with mixed Quality of Services (QoS) requirement for an underlay multiple-input-multiple-output (MIMO) cognitive radio network (CRN). Specifically, we have considered an optimization criterion such that a set of SUs are required to achieve a target data rate whilst the data rates for the remaining SUs are to be balanced. This problem with a mixed QoS requirement...
We consider an underlay cognitive radio network, in which the cognitive users (also referred to as secondary users (SUs)) are allowed to access the licensed spectrum simultaneously with the primary users (PUs). Specifically we solve a beamforming and power allocation problem in the downlink with mixed quality-of-service (QoS) requirements where a set of SUs are required to achieve a specific signal-to-interference...
We propose an adaptive bit and power allocation technique for an orthogonal frequency division multiple access based cognitive radio network. The resources are allocated such that each secondary user attains equal data rate while ensuring the interference leakage to the primary users is below a specific threshold. Integer linear programming based optimal algorithm and a suboptimal method based on...
We design a linear transceiver in the downlink for a spectrum sharing multiuser multiple-input-multiple-output (MIMO) networks. This linear transceiver ensures that the required quality of service (QoS) is achieved at each user while satisfying the interference constraints on the primary users. Here, certain predefined throughput is considered as a QoS requirement for each user. The original QoS based...
We propose an integer linear programming based adaptive bit loading and subcarrier allocation technique for a cognitive radio network. The proposed technique considers interference leakage to and from multiple primary users and secondary users in order to optimise the throughput of the secondary network while keeping the interference to primary network below a specific value. The simulation framework...
We propose an optimization technique for the use of two way relays to forward signals and perform spatial multiplexing. The multiuser transmitter and receiver pairs employ single antennas, however, the two way relays can be used to forward signals to each other while performing spatial multiplexing by appropriately changing the phase and the amplitude of the signals at the relays. The problem has...
We propose an adaptive resource allocation algorithm for a multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) based downlink cognitive radio network (CRN). The CRN has multiple secondary users (SUs) coexisting with multiple primary users (PUs). The aim is to maximize the total data throughput of SUs while ensuring interference leakage to PUs is below a threshold...
We propose a robust signal to interference and noise ratio (SINR) balancing beamforming technique for a multiple input and multiple output (MIMO) based cognitive radio (CR) network. The aim is to design transmitter and receiver beamformers for multiple secondary users (SUs) while ensuring interference leakage to multiple primary users (PUs) is below a prescribed threshold. We use an iterative approach...
We propose an adaptive radio resource allocation algorithm for a multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) based uplink cognitive radio network (CRN). The CRN has multiple secondary users (SUs) coexisting with multiple primary users (PUs). The aim is to admit as many SUs as possible in various subcarriers while ensuring no interference is leaked to...
We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm optimally allocates power and the available subcarriers in an OFDMA environment while ensuring interference leaked to the primary users is below a specific value. We formulate the radio resource allocation problem for cognitive radio network into integer linear programming framework...
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